Data Science Festival

Data Idols is working with a leading logistics company that's reshaping how operations, data, and technology come together. As part of their growth, they're hiring a Data Scientist to join the Routing & Optimisation team, working on complex decision problems that drive real-world efficiencies. This is an opportunity to be part of a high-impact, production-focused environment where data science meets operational excellence. The Opportunity Working closely with the Head of Routing & Optimisation, you'll design and develop scalable algorithms, heuristics, and ML/optimisation models that tackle some of the most critical challenges in logistics, from routing and pricing to planning and forecasting. You'll collaborate cross-functionally with product and tech teams to bring models into production, writing production ready code and delivering end to end solutions. Benefits 25 days holiday + bank holidays, plus Christmas Eve off Private medical cover, enhanced sick pay, and in house gym Free breakfast, barista coffee, and Thursday social drinks Pension scheme with employer contributions Enhanced maternity leave Travel perks including Cycle to Work and EV scheme Be part of a high growth tech led logistics company that values innovation and impact Skills and Experience Experience building optimisation or ML models in logistics, transport, or consulting Expertise in Mixed Integer Programming, heuristics, approximate algorithms, constraint programming, or ML/DL Hands on with Python and SQL Domain knowledge in areas like routing, pricing, forecasting, or procurement planning Comfortable working in agile teams with a fast delivery mindset A proactive mindset with a bias for action and alignment with values like collaboration, curiosity, and getting things done If you're a data scientist who thrives on complex decision making problems and wants to make a tangible impact in a fast moving, tech led logistics business, we'd love to hear from you.

We are currently looking for a Machine Learning Engineer to join our client's data team. This is a hands on role where you'll design and build robust data pipelines, transform ML prototypes into production ready systems, and champion MLOps best practices across the business. As a Machine Learning Engineer, you'll play a crucial role in ensuring our clients' data and AI strategy scales effectively, directly influencing the way millions of people engage with their products every day. Opportunity This is a unique chance to combine data engineering with machine learning in a high impact environment. You'll work closely with analysts, data engineers and stakeholders, ensuring models are reliable, scalable, and production ready. Unlike many roles in the tech sector, this Machine Learning Engineer role gives you the visibility of seeing your work applied at scale, powering decision making and user experiences for a vast audience. Day to day Your day to day will include: Building and maintaining end to end data pipelines and feature engineering workflows. Deploying and monitoring ML models in production using tools such as MLflow, Vertex AI, or Azure ML. Driving best practices in MLOps, including CI/CD, experiment tracking, and model governance. Supporting the data warehouse and ensuring data quality, governance, and accessibility. Collaborating with cross functional teams to deliver trusted datasets and insights. Benefits Competitive salary with annual reviews. Hybrid working model offering flexibility. Generous holiday allowance that increases with service. Onsite wellness facilities, subsidised meals, and gym access. Access to wellbeing support services and employee assistance programmes. Clear career progression and opportunities to work with cutting edge tech. Skills and Experience Degree in Computer Science, Engineering, Mathematics, or a related field. Strong knowledge of Python and SQL. Hands on experience with cloud platforms (GCP or Azure) and Databricks. Familiarity with deploying ML workflows using MLflow, Vertex AI, or Azure ML. Nice to have: Experience with Spark, CI/CD pipelines, and orchestration tools. Nice to have: Knowledge of Elasticsearch or digital/web analytics platforms. Nice to have: Understanding of the full machine learning lifecycle, from experimentation to evaluation.

Data Science Festival is looking for a Data Analyst to join its innovative tech team. In this fully remote role, you'll manage data pipelines, create impactful visualisations, and drive strategy through data insights. We're seeking candidates with 2+ years of experience, advanced SQL skills, and knowledge of data modelling best practices. Enjoy a competitive salary, a personal development budget, and the opportunity to shape our data strategy.

We are currently looking for a Data Strategy Manager to join our client's fast-paced and collaborative tech team. Reporting directly into the CTO, this role is central to ensuring their data is accurate, secure, and used to its full potential. As the Data Lead, you will shape and evolve their data infrastructure, generate actionable insights, and partner across the business to drive smarter decisions. Position type: Permanent. Location: London, hybrid work arrangement. The Opportunity As Data Lead, you'll be at the heart of the mission to deliver a single source of truth for the business. You'll work with stakeholders across multiple functions, identifying opportunities where data can deliver competitive advantage, and leveraging the latest technologies to keep at the forefront of innovation. You will also be a keen people manager with a desire to grow and nurture a data team. Key Responsibilities Safeguard and optimise data quality, accuracy, and availability across the business. Develop and maintain data infrastructure to ensure scalability and efficiency. Translate complex data into meaningful insights for stakeholders. Partner with business leaders to deliver data-driven recommendations. Lead and coach a talented team of engineers, analysts, and BI specialists, fostering a culture of curiosity and growth. Champion emerging technologies to continually improve performance and efficiency. Benefits Competitive salary Flexible hybrid working Private pension scheme Ongoing training and career development opportunities Opportunity to lead and shape a high performing team Exposure to emerging technologies and real time data projects Skills and Experience Proven leadership in data-focused teams (data engineering, BI, analytics). Strong experience in data strategy, governance, and quality initiatives. Technical expertise in SQL and non SQL systems, database architecture, and data lake/warehouse design. Experience with cloud platforms (Azure DevOps preferred). Excellent communication skills with ability to bridge technical and business teams. Strong knowledge of data security, privacy, and compliance. Nice to have Degree in Computer Science or related field. Background in Agile project management. Experience applying AI to data platforms (e.g., document intelligence, behavioural modelling).

Salary: £80,000 - £110,000 + Equity options Location: London hybrid The Opportunity We are working with a rapidly scaling business that is tackling one of the UK's most important challenges, helping organisations unlock the potential of AI while addressing the growing skills gap. Having recently undergone a strategic rebrand, the company is now entering an accelerated growth phase and requires an experienced AI professional to join their head office team. This role is a rare opportunity to combine hands on AI engineering expertise with client consulting, solution delivery, and technical leadership. You'll play a critical role in shaping solutions for high profile organisations across multiple sectors, while also contributing to the internal development of new AI driven products and training programmes. What You'll Be Doing Leading technical input in pre sales and client facing conversations Designing and delivering AI solutions across a variety of industries Acting as an internal consultant, applying AI to improve business processes and scale operations Supporting the company's AI training academy, mentoring and guiding diverse talent pipelines Collaborating closely with leadership, sales, delivery, and academy teams to shape innovative solutions Skills and Experience Experience working in the industry delivering AI or ML solutions A strong technical foundation with the ability to design and deploy AI systems end to end Confidence in client facing roles, with the ability to communicate technical concepts clearly to non technical audiences Experience mentoring or coaching other engineers, and an interest in developing people A flexible, entrepreneurial mindset suited to a fast growing, high impact environment If you are looking for a new challenge, then please submit your CV for initial screening and more details.

Data Science Festival is seeking a Data Solutions Architect to guide design and architecture across a large-scale data platform in Greater London. This senior role emphasizes shaping how data solutions are crafted while working closely with various teams, ensuring consistency and clarity. If you have experience with Azure-based platforms and enjoy influencing data strategies, apply now to be part of a dynamic and innovative organization.

Data Science Festival is looking for an experienced AI professional to join their London office in a hybrid capacity. This unique role blends AI engineering with client consulting, allowing you to lead innovative solutions for prominent organizations while contributing to internal development programs. You will be tasked with designing and delivering AI solutions across various industries and mentoring diverse talent pipelines within the company's AI training academy.

At Data Idols, we are working with a large-scale, data-driven organisation investing heavily in its data platform, analytics and AI capabilities. They are now looking for a Data Solutions Architect to provide design and architecture guidance across a broad portfolio of data initiatives. The Opportunity This is a senior architecture role focused on shaping how data solutions are designed and delivered across a complex enterprise data estate. You will work closely with product owners, engineering leads, data teams and senior stakeholders to understand business requirements and translate them into clear, robust high-level designs for engineering teams to build. The role is not focused on hands-on delivery. Instead, you will be responsible for articulating solution designs, documenting key decisions, defining reusable patterns and ensuring consistency across a shared data platform. You will support a modern cloud data platform, with exposure to areas such as analytics, reporting, data science, AI use cases and increasingly real-time data capabilities. Skills and experience Experience working with Azure-based data platforms Experience with Databricks or similar modern data platforms Good understanding of data warehouse, data lake or lakehouse architectures If you are looking for a new challenge and want to help shape data solutions across a large-scale cloud data platform, please submit your CV for initial screening and further details.

Data Idols is working with a distributor in the tech industry who is looking for a Lead Full stack Data Scientist to join the team. They are a data driven business that seeks a technical leader and a mentor who will be hands on delivering high performing solutions. The Opportunity They are seeking a Lead Full stack Data Scientist to drive data, lead on strategic initiatives and develop cutting edge models. The role will report to the Head of Data Science and support a team of Data Scientists. This person will provide technical leadership, lead projects end to end, and mentor team members while actively contributing to solution delivery. Skills and Experience Building and deploying models into production Strong Python skills SQL proficiency Exposure to GCP Experience leading projects end to end

Data Science Festival is seeking a Staff Data Engineer to enhance their data platform in London with a hybrid work model. This role focuses on building scalable data pipelines and implementing cloud-native solutions on Azure and Databricks. You'll lead technical efforts within the team, making decisions on data processing and best practices while supporting fellow engineers. Ideal candidates have hands-on Azure experience, advanced SQL skills, and a proven track record in data pipeline maintenance.

A leading AI startup in London is searching for a Data Scientist to shape their core product and drive commercial impact. The role entails designing machine learning models for predicting user behavior and optimizing client revenue strategies. You will work closely with the founders in a collaborative and autonomous environment. With a competitive salary, meaningful equity, and the opportunity for substantial ownership from day one, this position offers a unique chance to influence the startup's trajectory.

Staff Data Engineer Salary: £85,000 - £95,000 Location: London, hybrid Data Idols are working with one of the best-known retail brands in the UK that are investing heavily in its data platform. They are looking for a Staff Data Engineer to play a key role in scaling production data systems and raising engineering standards across the wider data function. This role sits at the centre of a major data transformation and offers the chance to work on high impact data platforms used across the business. The Opportunity As a Staff Data Engineer, you'll take ownership of complex, production grade data pipelines and act as a technical leader within the data engineering team. You'll work on cloud native solutions built on Azure and Databricks, making key decisions around data processing, modelling, and performance. Alongside hands on delivery, you'll help set best practices, support other engineers, and influence how data engineering is done across the organisation. Skills & Experience Strong hands on experience with Azure data platforms Advanced SQL skills Commercial experience using Databricks and PySpark Proven background building and maintaining scalable data pipelines

The Data Science Festival in Manchester is seeking a Senior Data Analyst to drive analytics across product changes. This hybrid role focuses on experimentation and performance evaluation, partnering with teams to ensure effective testing and measurement of product impacts. The ideal candidate has a strong background in search optimisation and SQL, along with experience in collaboration with data scientists and engineers. This position offers competitive pay between £65K and £75K.

Backend Senior Software Engineer London (Hybrid) £90,000 - £100,000 Here at Data Idols, we're working with an innovative technology business that is scaling a cutting edge AI powered platform used by enterprise clients globally. As the platform continues to grow, they're looking for a Backend Senior Software Engineer to play a key role in shaping its future architecture, scalability and technical direction. This is an opportunity to join a high performing engineering team where you'll have genuine influence over architecture, technology decisions, product direction and engineering standards. The Opportunity As a Backend Senior Software Engineer, you'll take ownership of key platform components from design through to deployment, optimisation and ongoing support. Working within a modern cloud native environment, you'll help design, build and scale the backend services that power an AI driven platform entering a significant growth phase and supporting an increasingly large enterprise customer base. You'll be solving complex engineering challenges around scalability, performance and reliability, designing distributed systems and building resilient enterprise grade software that forms the foundation of the platform. This is a highly visible role where you'll collaborate closely with product and engineering leadership to shape technical roadmaps, influence architecture decisions and contribute to the long term evolution of the platform. You'll be responsible for delivering high quality, resilient software, improving engineering processes and tooling, and driving best practice across development, testing, deployment and monitoring. Skills and Experience Strong commercial experience developing backend software using Python, alongside experience with languages such as Java, Go, Kotlin, C++ or similar Commercial experience with TypeScript Experience building and operating applications within AWS/GCP environments Strong understanding of scalable system design and distributed systems Hands on experience with CI/CD pipelines and modern engineering practices Experience building resilient, cloud native, enterprise grade applications If you're an experienced backend software engineer looking to solve complex technical challenges and help shape a modern cloud native platform, we'd love to hear from you. Backend Senior Software Engineer

Data Science Festival is looking for a Backend Senior Software Engineer to join their team in London (Hybrid). You'll work on a cutting-edge AI-powered platform, contributing to its architecture and scalability. In this role, you will take ownership of backend services, tackle complex engineering challenges, and collaborate closely with leadership to influence technical roadmaps. Strong experience in Python and familiarity with cloud environments are essential.

Senior Data Scientist Salary: £85K - £95K Location: London (Hybrid - 3 days per week) Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale. Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they're now looking for a Senior Data Scientist to own one of the most important parts of the company. The Opportunity This isn't a role where you'll optimise an existing model or become another specialist in a large data science team. You'll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you'll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer. You'll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes. Working alongside highly experienced founders and recognised experts in machine learning, you'll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one. This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business. Skills & Experience Strong commercial experience building machine learning models in Python Excellent understanding of predictive modelling, classification or propensity modelling Experience with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with cloud platforms and modern ML tooling Curious and analytical mindset If you're looking for a role where you'll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we'd love to hear from you.

Principal Data Analyst £95K - £105K London hybrid At Data Idols, we are working with a fast-growing, technology led digital business operating at significant scale across multiple international markets. They are now looking for a Principal Data Analyst to lead a small analytics team and drive commercially impactful insight across a critical business domain. The Opportunity This is a high ownership leadership role sitting at the intersection of analytics, commercial strategy and operational performance. You will act as the key analytics partner for a core business function, helping stakeholders understand performance, identify optimisation opportunities and make better strategic decisions through data. Leading a small team of analysts, you will shape how analytics is delivered across the organisation, setting standards for reporting and visualisation, building measurement frameworks, and ensuring insight translates into meaningful commercial impact. You will work closely with commercial, product and engineering teams, influencing both day to day decision making and longer term strategic direction. Skills and experience Advanced SQL skills Experience with analytics engineering tooling such as dbt Experience using visualisation tools Experience leading or mentoring analysts Ability to influence strategic decision making through data and insight If you are looking for a new challenge and want to play a key role in shaping commercial and operational decision making through analytics, please submit your CV for initial screening and further details.

Data Idols in London is seeking a Principal Data Analyst to lead a small analytics team and drive commercially impactful insight across a core business domain. You will own analytics delivery, partner with commercial, product and engineering teams, and influence day to day decision making. This high ownership role requires turning data into strategic guidance, building reporting standards, measurement frameworks, and ensuring insights translate into measurable performance improvements across

Data Science Festival is looking for a Lead Software Security Engineer to join their collaborative engineering team in London. This role involves driving application security initiatives and improving security processes within a fast-growing technology business focusing on AI products. You will work closely with developers and technical leadership to enhance security across the software development lifecycle. The position offers a competitive salary of up to £150,000 and a hybrid working model.

Data Science Festival is looking for a Staff Software Security Engineer in London. This pivotal role focuses on securing applications and cloud infrastructure. You will drive security initiatives across engineering teams, conduct security assessments, and influence security strategy. The position offers a salary of up to £150,000 along with a hybrid working model, opportunities for professional development, and a collaborative culture.